Triple
T5043327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellgate |
E113597
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Jack Littlefield
Jack Littlefield is an actor known for his role in the film "Hellgate."
|
E489079
|
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: Jack Littlefield | Statement: [Hellgate, hasCastMember, Jack Littlefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Littlefield Context triple: [Hellgate, hasCastMember, Jack Littlefield]
-
A.
William Jarrett
William Jarrett was an American physician and the late husband of former senior presidential advisor Valerie Jarrett.
-
B.
Jesse Hoyt
Jesse Hoyt was a 19th-century American lawyer and Democratic politician who became a prominent New York political figure and customs official.
-
C.
Gridley Bryant
Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
-
D.
Joseph Wightman
Joseph Wightman was a British Army officer best known for commanding government forces against the Jacobites during the early 18th-century uprisings.
-
E.
Paul Millspaugh
Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
- 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: Jack Littlefield Triple: [Hellgate, hasCastMember, Jack Littlefield]
Generated description
Jack Littlefield is an actor known for his role in the film "Hellgate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Littlefield Target entity description: Jack Littlefield is an actor known for his role in the film "Hellgate."
-
A.
William Jarrett
William Jarrett was an American physician and the late husband of former senior presidential advisor Valerie Jarrett.
-
B.
Jesse Hoyt
Jesse Hoyt was a 19th-century American lawyer and Democratic politician who became a prominent New York political figure and customs official.
-
C.
Gridley Bryant
Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
-
D.
Joseph Wightman
Joseph Wightman was a British Army officer best known for commanding government forces against the Jacobites during the early 18th-century uprisings.
-
E.
Paul Millspaugh
Paul Millspaugh is a film editor known for his work on the romantic comedy "Two Can Play That Game."
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c87455081908b759eed55730503 |
completed | March 21, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_69be9fc4f8bc8190a21c828ea5cb9529 |
completed | March 21, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea026f1008190861990c7a330222e |
completed | March 21, 2026, 1:41 p.m. |
Created at: March 20, 2026, 1:37 p.m.