Triple
T32164744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Carpenter |
E821533
|
entity |
| Predicate | associatedWithKillerIdentity |
P206205
|
FINISHED |
| Object | Ghostface |
E380813
|
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: Ghostface | Statement: [Sam Carpenter, associatedWithKillerIdentity, Ghostface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithKillerIdentity Context triple: [Sam Carpenter, associatedWithKillerIdentity, Ghostface]
-
A.
associatedWithSuperheroIdentity
Indicates that an entity has a connection or linkage to a particular superhero identity, such as being or representing that superhero persona.
-
B.
hasSerialKiller
Indicates that one entity is a serial killer associated with, responsible for, or targeting another entity.
-
C.
hasKiller
Indicates that one entity is the killer or cause of death of another entity.
-
D.
hasKillerProtagonist
Indicates that the main character in a work is a killer or has committed killing as a defining aspect of their role.
-
E.
associatedWithDeathOf
Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f0bd48f5881909d6d996fcdbca87c |
completed | June 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:33 a.m.