Triple
T15554050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCarty Little Hall |
E370821
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
McCarty Little
McCarty Little was a U.S. Navy officer and influential naval strategist whose ideas helped shape early 20th-century American naval doctrine.
|
E1163904
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: McCarty Little | Statement: [McCarty Little Hall, namedAfter, McCarty Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCarty Little Context triple: [McCarty Little Hall, namedAfter, McCarty Little]
-
A.
Matt Roberts
Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
-
B.
Matt Roberts
Matt Roberts is a writer best known for his work on the television series "Loser."
-
C.
Teddy Sanders
Teddy Sanders is the cautious yet politically minded NASA Administrator in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
D.
Teddy Sanders
Teddy Sanders is a fictional character from the comedy film "Neighbors," portrayed as the charismatic yet rowdy fraternity leader who clashes with his new neighbors.
-
E.
Austin P. McKenzie
Austin P. McKenzie is an American actor and singer best known for his work in LGBTQ-themed television and theater, including prominent roles in series like "When We Rise" and the musical "Spring Awakening."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: McCarty Little Triple: [McCarty Little Hall, namedAfter, McCarty Little]
Generated description
McCarty Little was a U.S. Navy officer and influential naval strategist whose ideas helped shape early 20th-century American naval doctrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: McCarty Little Target entity description: McCarty Little was a U.S. Navy officer and influential naval strategist whose ideas helped shape early 20th-century American naval doctrine.
-
A.
Matt Roberts
Matt Roberts was an American guitarist best known as a founding member of the rock band 3 Doors Down.
-
B.
Matt Roberts
Matt Roberts is a writer best known for his work on the television series "Loser."
-
C.
Teddy Sanders
Teddy Sanders is the cautious yet politically minded NASA Administrator in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
D.
Teddy Sanders
Teddy Sanders is a fictional character from the comedy film "Neighbors," portrayed as the charismatic yet rowdy fraternity leader who clashes with his new neighbors.
-
E.
Austin P. McKenzie
Austin P. McKenzie is an American actor and singer best known for his work in LGBTQ-themed television and theater, including prominent roles in series like "When We Rise" and the musical "Spring Awakening."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456209288190aba6debd434af741 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff471cb68c8190924e894b190f15f4 |
completed | May 9, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff47aeddac8190a87024019ecb1396 |
completed | May 9, 2026, 2:41 p.m. |
Created at: April 10, 2026, 4:09 a.m.