Triple
T25803675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Wish 3 |
E649903
|
entity |
| Predicate | characterPlayedBy_Deborah Raffin |
P9616
|
FINISHED |
| Object |
Kathryn Davis
Kathryn Davis is a fictional character from the 1985 vigilante action film "Death Wish 3," portrayed by actress Deborah Raffin.
|
E1697957
|
NE FINISHED |
How this triple was built (3 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: Kathryn Davis | Statement: [Death Wish 3, characterPlayedBy_Deborah Raffin, Kathryn Davis]
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: Kathryn Davis Triple: [Death Wish 3, characterPlayedBy_Deborah Raffin, Kathryn Davis]
Generated description
Kathryn Davis is a fictional character from the 1985 vigilante action film "Death Wish 3," portrayed by actress Deborah Raffin.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy_Deborah Raffin Context triple: [Death Wish 3, characterPlayedBy_Deborah Raffin, Kathryn Davis]
-
A.
characterVoicedBy Debra Messing
Indicates that the character is voiced by Debra Messing.
-
B.
characterPlayedByKathleenQuinlan
Indicates that a given character is portrayed or acted by Kathleen Quinlan.
-
C.
characterPlayedBy_MichelleRyan
Indicates that the subject is a character portrayed or played by Michelle Ryan.
-
D.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
E.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
- F. None of above.
Provenance (6 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10da16988081908dd1d0df656610e4 |
completed | May 22, 2026, 10:35 p.m. |
| NEDg | Description generation | batch_6a10db8c106c8190b80bae3db0d75e67 |
completed | May 22, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10dc2096b881909e87c9cc277bc831 |
completed | May 22, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 22, 2026, 6:44 a.m.