Triple
T13500264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Schuyler Green |
E320868
|
entity |
| Predicate | usesUndercoverIdentity |
P22080
|
FINISHED |
| Object | poses as Jewish |
—
|
LITERAL 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: poses as Jewish | Statement: [Philip Schuyler Green, usesUndercoverIdentity, poses as Jewish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesUndercoverIdentity Context triple: [Philip Schuyler Green, usesUndercoverIdentity, poses as Jewish]
-
A.
usesMasksOrDisguises
chosen
Indicates that an entity employs masks, costumes, or other forms of disguise to conceal or alter its identity in the context of an action or interaction.
-
B.
usedBySuperheroIdentity
Indicates that a particular item, tool, or resource is utilized by a given superhero identity.
-
C.
unawareOfTrueIdentityOf
Indicates that one entity does not know or recognize the real or actual identity of another entity.
-
D.
hasSuperheroIdentityType
Indicates the type or category of a superhero identity associated with an entity (e.g., secret, public, dual).
-
E.
hasSecretIdentity
Indicates that an entity possesses an alternate, hidden identity that is not publicly known.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.