Triple
T9235669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pelican Brief |
E221929
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Darby Shaw
Darby Shaw is a fictional law student and protagonist in John Grisham's legal thriller "The Pelican Brief," known for uncovering a dangerous political conspiracy.
|
E787349
|
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: Darby Shaw | Statement: [The Pelican Brief, mainCharacter, Darby Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darby Shaw Context triple: [The Pelican Brief, mainCharacter, Darby Shaw]
-
A.
Darby Hickson
Darby Hickson is the former wife of American Republican political strategist and commentator Karl Rove.
-
B.
Jody Shields
Jody Shields is an American writer and former magazine editor known for her novels and screenwriting work.
-
C.
Shannon Dawson
Shannon Dawson is known as one of the children of the late British-American actor and game show host Richard Dawson.
-
D.
Kay Walsh
Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
-
E.
Jody Norris
Jody Norris is the central female protagonist of the 1946 drama film "To Each His Own," whose life is shaped by a secret love affair and the painful decision to give up her child.
- 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: Darby Shaw Triple: [The Pelican Brief, mainCharacter, Darby Shaw]
Generated description
Darby Shaw is a fictional law student and protagonist in John Grisham's legal thriller "The Pelican Brief," known for uncovering a dangerous political conspiracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darby Shaw Target entity description: Darby Shaw is a fictional law student and protagonist in John Grisham's legal thriller "The Pelican Brief," known for uncovering a dangerous political conspiracy.
-
A.
Darby Hickson
Darby Hickson is the former wife of American Republican political strategist and commentator Karl Rove.
-
B.
Jody Shields
Jody Shields is an American writer and former magazine editor known for her novels and screenwriting work.
-
C.
Shannon Dawson
Shannon Dawson is known as one of the children of the late British-American actor and game show host Richard Dawson.
-
D.
Kay Walsh
Kay Walsh was a British actress and dancer known for her versatile performances in mid-20th-century cinema and her collaborations with prominent directors like David Lean.
-
E.
Jody Norris
Jody Norris is the central female protagonist of the 1946 drama film "To Each His Own," whose life is shaped by a secret love affair and the painful decision to give up her child.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09d42488190b8ccb9c4b62fdda8 |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077cc774c8190bdbdd4071c11f096 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d07c0344a081908e33e9fc844204d9 |
completed | April 4, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07c5a82d88190a6b767a66ffd51ed |
completed | April 4, 2026, 2:50 a.m. |
Created at: March 30, 2026, 7:29 p.m.