Triple
T15498213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Rigg |
E378877
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Tracy Bond |
E194260
|
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: Tracy Bond | Statement: [Diana Rigg, portrayed, Tracy Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracy Bond Context triple: [Diana Rigg, portrayed, Tracy Bond]
-
A.
Tracy Bond
chosen
Tracy Bond is a fictional character in the James Bond series, best known as the woman James Bond marries in the novel and film "On Her Majesty's Secret Service."
-
B.
Tracy Wilson
Tracy Wilson is a television producer best known for serving as an executive producer on the daytime talk show "The Kelly Clarkson Show."
-
C.
Tracy Stevens
Tracy Stevens is best known as the wife of American basketball coach and executive Brad Stevens.
-
D.
Tracy Stevens
Tracy Stevens is a central astronaut character in the alternate-history space drama series "For All Mankind," known for her pioneering role in NASA’s evolving lunar and space missions.
-
E.
Tracy Garner
Tracy Garner is known as the spouse of Doug Billings, a character from the comedy film series "The Hangover."
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e376f08190b5ae9793a0381204 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 3:53 a.m.