Triple
T1956125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightmare Alley |
E42272
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ian Keith |
E224284
|
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: Ian Keith | Statement: [Nightmare Alley, starring, Ian Keith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Keith Context triple: [Nightmare Alley, starring, Ian Keith]
-
A.
Ian Keith
chosen
Ian Keith was an American character actor of stage and screen, active from the silent era through the mid-20th century, known for his versatile supporting roles in numerous Hollywood films.
-
B.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
C.
Ian Bryce
Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
-
D.
Christopher Reid
Christopher Reid is a British poet and former poetry editor known for his witty, emotionally resonant verse and for winning major literary awards such as the Costa Book Award.
-
E.
Colin Goudie
Colin Goudie is a film editor known for his work on major feature films, including the fantasy action movie "King Arthur: Legend of the Sword."
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f702640819085b5d5d69615b92a |
completed | March 9, 2026, 7:28 p.m. |
Created at: March 4, 2026, 7:36 p.m.