Triple
T9796480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Abbott |
E237729
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Cecilia Abbott |
E237729
|
NE 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: Cecilia Abbott | Statement: [Greg Abbott, spouse, Cecilia Abbott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecilia Abbott Context triple: [Greg Abbott, spouse, Cecilia Abbott]
-
A.
Cecilia Abbott
chosen
Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
-
B.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
-
C.
Lindsay Dole
Lindsay Dole is a driven and morally conflicted defense attorney on the legal drama series "The Practice," known for her complex personal and professional relationships within the firm.
-
D.
Janai Nelson
Janai Nelson is a civil rights attorney and legal scholar who serves as the president and director-counsel of the NAACP Legal Defense and Educational Fund, one of the United States’ leading racial justice organizations.
-
E.
Gail C. Murphy
Gail C. Murphy is a prominent Canadian computer scientist known for her influential research in software engineering, particularly in improving developer productivity and software evolution.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34a53548190a8cb524381fe2bf9 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5118a481908a65d730f86c7723 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:28 p.m.