Triple
T33350039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Kittridge |
E853908
|
entity |
| Predicate | roleInDeadReckoning |
P202439
|
FINISHED |
| Object | senior U.S. intelligence official |
—
|
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: senior U.S. intelligence official | Statement: [Eugene Kittridge, roleInDeadReckoning, senior U.S. intelligence official]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDeadReckoning Context triple: [Eugene Kittridge, roleInDeadReckoning, senior U.S. intelligence official]
-
A.
roleInMovement
Indicates the specific function, position, or contribution an entity has within a broader movement or collective effort.
-
B.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
C.
roleInFrame
Indicates that an entity participates in a specific semantic frame by filling a particular role within that frame.
-
D.
roleInRepertoire
Indicates that an entity serves a specific role or function within a larger repertoire, collection, or set of items.
-
E.
roleInChickenfoot
Indicates that an entity participates in a game of Chickenfoot (a dominoes variant) in a specific role or capacity.
- F. None of above. chosen
Provenance (4 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_69f3496acbc8819099fd0305ecc42080 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a007fc9d9688190af411d5841af34be |
completed | May 10, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_6a007f64813081909a2950336402073b |
completed | May 10, 2026, 12:51 p.m. |
| PDg | Predicate description generation | batch_6a007fc8f9f88190b78cd2ef3fc9c6fc |
completed | May 10, 2026, 12:53 p.m. |
Created at: May 1, 2026, 1:34 a.m.