Triple
T22802595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil’s Hairpin |
E564436
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Steve Gordon
Steve Gordon is a fictional character appearing in the 1957 auto-racing drama film "The Devil’s Hairpin."
|
E1555734
|
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: Steve Gordon | Statement: [The Devil’s Hairpin, featuresCharacter, Steve Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Gordon Context triple: [The Devil’s Hairpin, featuresCharacter, Steve Gordon]
-
A.
Steve Gordon
Steve Gordon was an American film director and screenwriter best known for writing and directing the 1981 comedy film "Arthur."
-
B.
Dan Gordon
Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
-
C.
Dan Gordon
Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
-
D.
Donald Gordon
Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
-
E.
Donald Gordon
Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
- 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: Steve Gordon Triple: [The Devil’s Hairpin, featuresCharacter, Steve Gordon]
Generated description
Steve Gordon is a fictional character appearing in the 1957 auto-racing drama film "The Devil’s Hairpin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Gordon Target entity description: Steve Gordon is a fictional character appearing in the 1957 auto-racing drama film "The Devil’s Hairpin."
-
A.
Steve Gordon
Steve Gordon was an American film director and screenwriter best known for writing and directing the 1981 comedy film "Arthur."
-
B.
Dan Gordon
Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
-
C.
Dan Gordon
Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
-
D.
Donald Gordon
Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
-
E.
Donald Gordon
Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9b35e08190a3ad478355279253 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba2386bf88190911fe2cd9870023a |
completed | May 18, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba2bae9888190a8d115579643695b |
completed | May 18, 2026, 11:37 p.m. |
Created at: April 17, 2026, 3:31 p.m.