Triple
T9853860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Witness |
E239535
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
John Book
John Book is the tough, principled Philadelphia detective who goes undercover in an Amish community to protect a young murder witness in the film "Witness."
|
E825055
|
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: John Book | Statement: [Witness, hasCharacter, John Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Book Context triple: [Witness, hasCharacter, John Book]
-
A.
Will Parker
Will Parker is a cheerful, somewhat naive cowboy and rodeo performer who provides comic relief and romantic subplots in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
B.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
C.
Axel Foley
Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
-
D.
Jack R. Gage
Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
-
E.
Bobby McCallister
Bobby McCallister is a fictional character played by actor Logan Lerman, likely featured in a film or television production.
- 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: John Book Triple: [Witness, hasCharacter, John Book]
Generated description
John Book is the tough, principled Philadelphia detective who goes undercover in an Amish community to protect a young murder witness in the film "Witness."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Book Target entity description: John Book is the tough, principled Philadelphia detective who goes undercover in an Amish community to protect a young murder witness in the film "Witness."
-
A.
Will Parker
Will Parker is a cheerful, somewhat naive cowboy and rodeo performer who provides comic relief and romantic subplots in the classic Rodgers and Hammerstein musical "Oklahoma!".
-
B.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
C.
Axel Foley
Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
-
D.
Jack R. Gage
Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
-
E.
Bobby McCallister
Bobby McCallister is a fictional character played by actor Logan Lerman, likely featured in a film or television production.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb376d32c819089381cf6ed83629d |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5f21a04819099f23ede55ec3417 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d7a6a87c81908dcd79c776bb19a1 |
completed | April 5, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d82007088190ac372c67a6760e65 |
completed | April 5, 2026, 3:33 a.m. |
Created at: March 30, 2026, 8:34 p.m.