Triple
T10441141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nellie Connally |
E246171
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Mark Connally |
E246171
|
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: Mark Connally | Statement: [Nellie Connally, child, Mark Connally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Connally Context triple: [Nellie Connally, child, Mark Connally]
-
A.
Mark Connally
chosen
Mark Connally is the son of former Texas First Lady Nellie Connally and prominent Texas politician John Connally.
-
B.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
C.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
D.
John McAllen
John McAllen was a 19th-century rancher, merchant, and land developer whose influence in the Rio Grande Valley led to the South Texas city of McAllen being named in his honor.
-
E.
Jay Garner
Jay Garner is a retired U.S. Army lieutenant general who briefly led the initial U.S.-led civilian administration in Iraq following the 2003 invasion.
- 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_69d4fb9df6fc8190830f405ef955d64b |
completed | April 7, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc43e53081909e14cfe295d17cb2 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:15 p.m.