Triple
T16271698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted McCord |
E395014
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McCord |
E670921
|
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: McCord | Statement: [Ted McCord, familyName, McCord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McCord Context triple: [Ted McCord, familyName, McCord]
-
A.
McCord
chosen
McCord is a surname most notably associated with James W. McCord Jr., a key figure in the Watergate scandal.
-
B.
Cordell
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
-
C.
Corrigan
Corrigan is an Irish-origin surname borne by numerous notable figures in fields such as religion, politics, sports, and entertainment.
-
D.
McCaskey
McCaskey is the surname of Virginia Halas McCaskey, the longtime principal owner of the NFL’s Chicago Bears and daughter of legendary coach and owner George Halas.
-
E.
Conerly
Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460a4f7c8190a614c11f7eaa0a7a |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017bf09888190b3d90db3517a2f1e |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.