Triple
T13338451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House on 92nd Street |
E317758
|
entity |
| Predicate | hasFBIInvolvement |
P27064
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The House on 92nd Street, hasFBIInvolvement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFBIInvolvement Context triple: [The House on 92nd Street, hasFBIInvolvement, true]
-
A.
intelligenceAgencyInvolved
chosen
Indicates that an intelligence agency participates in, influences, or is otherwise involved in the referenced event, operation, or relationship.
-
B.
hasCrimeInvestigation
Indicates that an entity is the subject of, or associated with, a formal investigation into a crime.
-
C.
hasStateInvolved
Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
-
D.
hasCapitalInvolved
Indicates that a capital city is involved or plays a role in the specified relationship or event.
-
E.
federalEntityInvolved
Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.