Triple
T3432368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Fox |
E72367
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Mike Flaherty
Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
|
E378209
|
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: Mike Flaherty | Statement: [Michael J. Fox, characterPortrayed, Mike Flaherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Flaherty Context triple: [Michael J. Fox, characterPortrayed, Mike Flaherty]
-
A.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
B.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
C.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
D.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- 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: Mike Flaherty Triple: [Michael J. Fox, characterPortrayed, Mike Flaherty]
Generated description
Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Flaherty Target entity description: Mike Flaherty is the fast-talking, politically savvy deputy mayor of New York City and central character played by Michael J. Fox on the sitcom "Spin City."
-
A.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
B.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
C.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
D.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
E.
Michael McCusker
Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c077d48190bee40795cab3e422 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4881f1e1c81908de3a0729761c4f7 |
completed | March 13, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69b48e1e32ac8190abfa73b682587ef6 |
completed | March 13, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4b7145a908190892879366db7bb34 |
completed | March 14, 2026, 1:17 a.m. |
Created at: March 8, 2026, 3:15 p.m.