Triple
T9393900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Savage |
E226094
|
entity |
| Predicate | notableWork |
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: [John Savage, notableWork, Hair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hair Context triple: [John Savage, notableWork, 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.
Permanent Waves
Permanent Waves is a 1980 progressive rock album by the Canadian band Rush that marked a shift toward more concise, radio-friendly songs while retaining their complex musicianship and lyrical themes.
-
D.
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.
-
E.
Schwarzkopf
Schwarzkopf is a German hair care and styling brand known for its shampoos, dyes, and professional salon products.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd511150008190be04142e477e8bf1 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010ffcd4819088edafbdb43c2c00 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:45 p.m.