Triple
T8195285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Papp |
E191413
|
entity |
| Predicate | notableProduction |
P4
|
FINISHED |
| Object | Hair |
E267551
|
NE FINISHED |
How this triple was built (2 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: Hair | Statement: [Joseph Papp, notableProduction, Hair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hair Context triple: [Joseph Papp, notableProduction, Hair]
-
A.
Hair
chosen
Hair is a 1979 musical anti-war film directed by Miloš Forman, adapted from the 1960s stage musical and known for its portrayal of the hippie counterculture and Vietnam War–era America.
-
B.
Hairmyres
Hairmyres is a suburban area in East Kilbride, South Lanarkshire, Scotland, known primarily as a residential district with local transport links and amenities.
-
C.
Schwarzkopf
Schwarzkopf is a German surname most prominently associated with U.S. Army General Norman Schwarzkopf Jr., who led coalition forces in the Gulf War.
-
D.
Unhas
Unhas is the commonly used abbreviation for Hasanuddin University, a major public university located in Makassar, Indonesia.
-
E.
Lash
Lash is the given name of the person after whom the Lash Miller Chemical Laboratories were named, likely a notable chemist or academic figure.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c6e9548190a4c5ca14516e4417 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5c20fbd08190b9966e3c967e9c71 |
completed | March 31, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedaab8848190877fbe2de9b83957 |
completed | April 1, 2026, 10:04 a.m. |
Created at: March 30, 2026, 5:42 p.m.