Triple
T15813927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bailey House Museum |
E383425
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Edward Bailey
Edward Bailey was a notable figure significant enough in his community or field that a museum, the Bailey House Museum, was named in his honor.
|
E1180776
|
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: Edward Bailey | Statement: [Bailey House Museum, namedAfter, Edward Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edward Bailey Context triple: [Bailey House Museum, namedAfter, Edward Bailey]
-
A.
Edward Bailey
Edward Bailey is a retired MI6 agent and skilled operative portrayed by Anthony Hopkins in the action-comedy film "Red 2."
-
B.
William Bailey
William Bailey was an American actor and director active during the silent and early sound film eras.
-
C.
Jack Bailey
Jack Bailey is a fictional law enforcement officer who serves as the straight-laced partner to the reckless detective Dan Stark in the TV series "The Good Guys."
-
D.
Jack Bailey
Jack Bailey was an American radio and television personality best known for hosting the popular game show "Queen for a Day."
-
E.
William Bruce Bailey
William Bruce Bailey is the birth name of Axl Rose, the American singer and frontman of the hard rock band Guns N' Roses.
- 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: Edward Bailey Triple: [Bailey House Museum, namedAfter, Edward Bailey]
Generated description
Edward Bailey was a notable figure significant enough in his community or field that a museum, the Bailey House Museum, was named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edward Bailey Target entity description: Edward Bailey was a notable figure significant enough in his community or field that a museum, the Bailey House Museum, was named in his honor.
-
A.
Edward Bailey
Edward Bailey is a retired MI6 agent and skilled operative portrayed by Anthony Hopkins in the action-comedy film "Red 2."
-
B.
William Bailey
William Bailey was an American actor and director active during the silent and early sound film eras.
-
C.
Jack Bailey
Jack Bailey is a fictional law enforcement officer who serves as the straight-laced partner to the reckless detective Dan Stark in the TV series "The Good Guys."
-
D.
Jack Bailey
Jack Bailey was an American radio and television personality best known for hosting the popular game show "Queen for a Day."
-
E.
William Bruce Bailey
William Bruce Bailey is the birth name of Axl Rose, the American singer and frontman of the hard rock band Guns N' Roses.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a1571881909488728f123865ad |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa939b4608190ac411b2f2f61e19e |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9c5b1d48190af08d2eef2c627ef |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa1b2b788190909b0921089d3f8c |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 10, 2026, 4:49 a.m.