Triple
T7561222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkman |
E178797
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Peyton Westlake
Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
|
E673188
|
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: Peyton Westlake | Statement: [Darkman, mainCharacter, Peyton Westlake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peyton Westlake Context triple: [Darkman, mainCharacter, Peyton Westlake]
-
A.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
-
B.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
C.
Madison Pettis
Madison Pettis is an American actress and model best known for her breakout childhood role in the Disney film "The Game Plan" and subsequent work in television and voice acting.
-
D.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
E.
Addison Richards
Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
- 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: Peyton Westlake Triple: [Darkman, mainCharacter, Peyton Westlake]
Generated description
Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peyton Westlake Target entity description: Peyton Westlake is a disfigured scientist-turned-vigilante who uses synthetic skin and brutal methods to seek revenge in the Darkman film series.
-
A.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
-
B.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
-
C.
Madison Pettis
Madison Pettis is an American actress and model best known for her breakout childhood role in the Disney film "The Game Plan" and subsequent work in television and voice acting.
-
D.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
E.
Addison Richards
Addison Richards was an American character actor known for his prolific work in film and early television during the 1930s–1950s.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d0cbfc8190b2cb2b601a7b078c |
completed | March 28, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69c857e2b6b08190ad5236352d0142be |
completed | March 28, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8587de3588190a209069dfee31a21 |
completed | March 28, 2026, 10:38 p.m. |
Created at: March 27, 2026, 3:50 p.m.