Triple
T1643594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracy Samantha Lord |
E35526
|
entity |
| Predicate | romanticEntanglement |
P26473
|
FINISHED |
| Object | Mike Connor |
E28982
|
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: Mike Connor | Statement: [Tracy Samantha Lord, romanticEntanglement, Mike Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Connor Context triple: [Tracy Samantha Lord, romanticEntanglement, Mike Connor]
-
A.
Mike Connor
chosen
Mike Connor is a cynical yet principled reporter who becomes romantically entangled with the wealthy socialite heroine in the classic film "High Society."
-
B.
Jeff Maggioncalda
Jeff Maggioncalda is a business executive best known for leading the online learning platform Coursera as its chief executive officer.
-
C.
Martin Connor
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
D.
Bryan Donovan
Bryan Donovan is one of the children of American basketball coach Billy Donovan.
-
E.
Gary Langan
Gary Langan is a British recording engineer and record producer known for his work with The Buggles, Art of Noise, and numerous influential pop and rock artists.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61e142ac8190aa2fbd8f0826b5b2 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc98fb2288190aeae9e48c146658f |
completed | March 8, 2026, 7:10 p.m. |
Created at: March 4, 2026, 7:28 p.m.