Triple
T5702290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Dowd |
E125691
|
entity |
| Predicate | becameOpEdColumnistAtTheNewYorkTimes |
P65673
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Maureen Dowd, becameOpEdColumnistAtTheNewYorkTimes, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameOpEdColumnistAtTheNewYorkTimes Context triple: [Maureen Dowd, becameOpEdColumnistAtTheNewYorkTimes, 1995]
-
A.
becameFreeNewspaper
Indicates that an entity transitioned from a paid or different status to being distributed as a free newspaper.
-
B.
namedEditorInChief
Indicates that one entity has been designated to serve in the role of editor-in-chief for another entity, such as a publication or organization.
-
C.
formerEditorInChief
Indicates that a person previously held, but no longer holds, the position of editor-in-chief of a publication or organization.
-
D.
editorialRole
Indicates that one entity holds an editorial position or responsibility in relation to another entity, such as a publication, work, or organization.
-
E.
roleInElEspectador
Indicates that an entity has a specific role or participation in the work titled "El Espectador."
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0245581988190a819b8137533ed31 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c023dfec6881909ee6189b874b4348 |
completed | March 22, 2026, 5:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.