Triple
T37501306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Name Is Bruce |
E931968
|
entity |
| Predicate | featuresFictionalizedSelf |
P95408
|
FINISHED |
| Object | Bruce Campbell |
E273353
|
NE FINISHED |
How this triple was built (2 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: Bruce Campbell | Statement: [My Name Is Bruce, featuresFictionalizedSelf, Bruce Campbell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalizedSelf Context triple: [My Name Is Bruce, featuresFictionalizedSelf, Bruce Campbell]
-
A.
featuresFictionalForm
chosen
Indicates that one entity includes, presents, or incorporates a fictional representation or version of another entity.
-
B.
featuresFictionalElement
Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
-
C.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
-
D.
featuresFictionalPopStar
Indicates that something includes or prominently presents a fictional pop music star as part of its content or subject matter.
-
E.
semiAutobiographicalCharacter
Indicates that a character is based partly on the real-life experiences, personality, or identity of its creator or author, but is not a fully direct self-portrayal.
- F. None of above.
Provenance (4 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d6640c408190b17cfe2fae20c95c |
completed | June 28, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.