Triple
T14189612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Pollard |
E351675
|
entity |
| Predicate | appearedInTVSeries |
P795
|
FINISHED |
| Object | I Spy |
E67929
|
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: I Spy | Statement: [Michael J. Pollard, appearedInTVSeries, I Spy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Spy Context triple: [Michael J. Pollard, appearedInTVSeries, I Spy]
-
A.
I Spy
chosen
I Spy is a 1960s American television series that blended espionage, action, and humor, notable for being one of the first network dramas to feature an African American lead actor in a co-starring role.
-
B.
My Spy
My Spy is a 2020 action-comedy film in which Dave Bautista plays a tough CIA operative who unexpectedly becomes the guardian and mentor of a precocious young girl.
-
C.
SPY
SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
-
D.
I Was a Spy
I Was a Spy is a 1933 British war drama film about a Belgian woman who becomes a spy during World War I.
-
E.
Charade
Charade is a 1963 romantic comedy-thriller film starring Cary Grant and Audrey Hepburn, renowned for its blend of suspense, wit, and stylish Parisian setting.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194543f081909cb11cf0881afa90 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:03 a.m.