Triple
T18780794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph D. Pistone |
E459249
|
entity |
| Predicate | yearsActiveUndercover |
P34676
|
FINISHED |
| Object | mid-1970s to early 1980s |
—
|
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: mid-1970s to early 1980s | Statement: [Joseph D. Pistone, yearsActiveUndercover, mid-1970s to early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveUndercover Context triple: [Joseph D. Pistone, yearsActiveUndercover, mid-1970s to early 1980s]
-
A.
activeYearsInCrime
Indicates the span of time during which an entity was actively involved in criminal activities.
-
B.
undercoverAgainst
Indicates that one entity is secretly acting in a covert or deceptive capacity directed against another entity.
-
C.
yearsActiveInStory
Indicates the span of years during which the entity is active or participates within the context of the story.
-
D.
activeInYears
chosen
Indicates that an entity was active or operational during the specified years or year range.
-
E.
yearsActiveInPolitics
Indicates the span of time during which an entity has been actively involved in political roles, activities, or office.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ee89481908b647802961e4519 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.