Triple
T21272715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Byrne |
E524306
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Why Would I Lie? |
—
|
NE NERFINISHED |
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: Why Would I Lie? | Statement: [Anne Byrne, notableWork, Why Would I Lie?]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why Would I Lie? Context triple: [Anne Byrne, notableWork, Why Would I Lie?]
-
A.
Why Would I Lie?
chosen
"Why Would I Lie?" is a 1980 American comedy-drama film notable as the first screen appearance of actor Gabriel Macht.
-
B.
Would I Lie to You?
Would I Lie to You? is a British comedy panel show where celebrity guests and team captains humorously try to distinguish truth from elaborate lies.
-
C.
Which Lie Did I Tell?
"Which Lie Did I Tell?" is William Goldman’s follow-up memoir on screenwriting, offering candid, humorous insights into Hollywood and the craft of writing for film.
-
D.
I Will Not Lie for You
"I Will Not Lie for You" is a song by the American indie rock band Flag.
-
E.
I Was Only Telling a Lie
"I Was Only Telling a Lie" is a song by American singer-songwriter James Taylor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73654ba148190a2eb0a06363cbd0b |
completed | April 21, 2026, 8:33 a.m. |
Created at: April 16, 2026, 4:01 p.m.