Triple
T31266515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking for Rachel Wallace |
E797266
|
entity |
| Predicate | hasFictionalBodyguard |
P191205
|
FINISHED |
| Object | Spenser |
—
|
NE NERFINISHED |
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: Spenser | Statement: [Looking for Rachel Wallace, hasFictionalBodyguard, Spenser]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalBodyguard Context triple: [Looking for Rachel Wallace, hasFictionalBodyguard, Spenser]
-
A.
wasBodyguardFor
chosen
Indicates that one entity served as a bodyguard, providing personal protection or security, for another entity.
-
B.
hasFictionalSpy
Indicates that an entity includes, features, or is associated with a fictional spy character.
-
C.
leadActorPlaysBodyguard
Indicates that the lead actor portrays the role of a bodyguard.
-
D.
hasFictionalAlterEgoOf
Indicates that one entity is the fictional alter ego, persona, or alternate identity of another entity.
-
E.
isFictionalAgentOf
Indicates that one entity is a fictional character or agent that acts on behalf of, or represents, another entity.
- F. None of above.
Provenance (3 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
Created at: April 29, 2026, 9:13 p.m.