Triple
T10449786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Kelleher |
E246388
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jo Ann Kelleher |
E246388
|
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: Jo Ann Kelleher | Statement: [Herb Kelleher, spouse, Jo Ann Kelleher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Ann Kelleher Context triple: [Herb Kelleher, spouse, Jo Ann Kelleher]
-
A.
Jo Ann Kelleher
chosen
Jo Ann Kelleher is best known as the wife of Herb Kelleher, the co-founder and longtime CEO of Southwest Airlines.
-
B.
Pamela Eells O'Connell
Pamela Eells O'Connell is an American television producer and writer best known for her work on family-oriented sitcoms such as "The Suite Life of Zack & Cody" and its spin-offs.
-
C.
Janet Healy
Janet Healy is a film producer known for her work on animated features, including the 2012 adaptation of Dr. Seuss's "The Lorax."
-
D.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
E.
Patricia Breslin
Patricia Breslin was an American actress known for her roles in 1950s–60s film and television, including appearances on shows like "The Twilight Zone" and "Peyton Place."
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe09af04819083db42f4de4cb0a9 |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9881d84588190a9117064a0950ac1 |
completed | April 10, 2026, 11:30 p.m. |
Created at: April 6, 2026, 12:17 p.m.