Triple
T14669662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. 36th Division |
E344475
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
T-Patchers
T-Patchers is the nickname of the U.S. Army’s 36th Infantry Division, a National Guard formation noted for its combat service in World War II.
|
E1111727
|
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: T-Patchers | Statement: [U.S. 36th Division, alsoKnownAs, T-Patchers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Patchers Context triple: [U.S. 36th Division, alsoKnownAs, T-Patchers]
-
A.
Tune Squad
Tune Squad is the fictional basketball team of Looney Tunes characters that competes alongside Michael Jordan in the 1996 film "Space Jam."
-
B.
Plugger
Plugger is the nickname of Tony Lockett, the legendary Australian rules football full-forward who holds the AFL/VFL all-time goal-kicking record.
-
C.
Patching
Patching is a small rural village and civil parish in West Sussex, England, situated within the South Downs and known for its scenic countryside and historic church.
-
D.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
E.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
- 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: T-Patchers Triple: [U.S. 36th Division, alsoKnownAs, T-Patchers]
Generated description
T-Patchers is the nickname of the U.S. Army’s 36th Infantry Division, a National Guard formation noted for its combat service in World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T-Patchers Target entity description: T-Patchers is the nickname of the U.S. Army’s 36th Infantry Division, a National Guard formation noted for its combat service in World War II.
-
A.
Tune Squad
Tune Squad is the fictional basketball team of Looney Tunes characters that competes alongside Michael Jordan in the 1996 film "Space Jam."
-
B.
Plugger
Plugger is the nickname of Tony Lockett, the legendary Australian rules football full-forward who holds the AFL/VFL all-time goal-kicking record.
-
C.
Patching
Patching is a small rural village and civil parish in West Sussex, England, situated within the South Downs and known for its scenic countryside and historic church.
-
D.
Trixter
Trixter is an American hard rock band best known for their early 1990s glam metal hits and MTV presence.
-
E.
Vtek
Vtek is a music producer known for working with the Nigerian singer Empress.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ef2908190b189ced65eec434a |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e9bb2081908515ab6430e9b1c2 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd7002ae08190964482d91f45d4cd |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd771cb188190b44d6e4903fa8f6e |
completed | May 8, 2026, 12:30 p.m. |
Created at: April 10, 2026, 1:27 a.m.