Triple
T15992457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Henwick |
E387866
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Peg |
E1116466
|
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: Peg | Statement: [Jessica Henwick, playedCharacter, Peg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peg Context triple: [Jessica Henwick, playedCharacter, Peg]
-
A.
Peg
"Peg" is a jazz-influenced pop/rock song by Steely Dan, known for its intricate production, sophisticated harmonies, and enduring popularity since its release on the 1977 album *Aja*.
-
B.
Peg
chosen
Peg is a sultry-voiced female dog from Disney's "Lady and the Tramp," known for her jazzy musical number and streetwise charm.
-
C.
Peg
Peg is a common diminutive or nickname for the female given name Margaret.
-
D.
Peggy-O
"Peggy-O" is a traditional folk ballad, widely known through renditions by artists like Simon & Garfunkel and the Grateful Dead, that tells a tragic love story involving a soldier and a woman named Peggy.
-
E.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157844ed881908b42bfc1bb740d4e |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.