Triple
T10908952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. G. Lafley |
E257642
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lafley |
E257642
|
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: Lafley | Statement: [A. G. Lafley, familyName, Lafley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lafley Context triple: [A. G. Lafley, familyName, Lafley]
-
A.
A. G. Lafley
chosen
A. G. Lafley is an American businessman best known for serving as the longtime CEO of Procter & Gamble, where he led major brand expansions and corporate growth.
-
B.
Andrea Immelt
Andrea Immelt is the wife of former General Electric CEO Jeff Immelt and is known primarily for her role as his spouse in public and professional circles.
-
C.
Raj K. Nooyi
Raj K. Nooyi is best known as the husband of former PepsiCo CEO Indra Nooyi and is a management consultant by profession.
-
D.
Anne Mulcahy
Anne Mulcahy is an American business executive best known for leading Xerox Corporation’s turnaround as its CEO and chairwoman in the early 2000s.
-
E.
David Cote
David Cote is an American business executive best known for serving as the longtime CEO of Honeywell International and for his involvement in U.S. fiscal and economic policy discussions.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216da42a0819095def6a691abf107 |
completed | April 17, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:22 p.m.