Triple
T25803676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Wish 3 |
E649903
|
entity |
| Predicate | characterPlayedBy_Ed Lauter |
P169534
|
FINISHED |
| Object |
Inspector Richard Shriker
Inspector Richard Shriker is a hard-edged New York police inspector who forms an uneasy alliance with vigilante Paul Kersey in the action film "Death Wish 3."
|
E1697958
|
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: Inspector Richard Shriker | Statement: [Death Wish 3, characterPlayedBy_Ed Lauter, Inspector Richard Shriker]
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: Inspector Richard Shriker Triple: [Death Wish 3, characterPlayedBy_Ed Lauter, Inspector Richard Shriker]
Generated description
Inspector Richard Shriker is a hard-edged New York police inspector who forms an uneasy alliance with vigilante Paul Kersey in the action film "Death Wish 3."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedBy_Ed Lauter Context triple: [Death Wish 3, characterPlayedBy_Ed Lauter, Inspector Richard Shriker]
-
A.
characterVoicedBy Denis Leary
Indicates that the character is voiced by Denis Leary.
-
B.
characterVoicedBy_James Brolin
Indicates that a character is voiced by James Brolin in a performance or production.
-
C.
characterVoicedBy Martin Lawrence
Indicates that the character is voiced by Martin Lawrence.
-
D.
characterVoicedBy Seann William Scott
Indicates that a character is voiced by Seann William Scott.
-
E.
characterPlayedByRobertPatrick
Indicates that a given character is portrayed or acted by Robert Patrick.
- F. None of above. chosen
Provenance (7 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_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 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_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 22, 2026, 6:44 a.m.