Triple
T29601512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Rutherford as Mistress Quickly |
E754460
|
entity |
| Predicate | basedOnPlays |
P193542
|
FINISHED |
| Object | Henry IV, Part 1 |
—
|
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: Henry IV, Part 1 | Statement: [Margaret Rutherford as Mistress Quickly, basedOnPlays, Henry IV, Part 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPlays Context triple: [Margaret Rutherford as Mistress Quickly, basedOnPlays, Henry IV, Part 1]
-
A.
basedOnPlayBy
Indicates that something (typically a creative work) is derived or adapted from a play authored by a specified entity.
-
B.
basedOnPerformanceBy
Indicates that something is derived from, adapted from, or determined according to the performance carried out by a particular entity.
-
C.
basedOnLeague
Indicates that one entity is determined, structured, or derived according to the rules, structure, or membership of a particular league.
-
D.
basedOnSport
Indicates that something is determined, derived, or organized according to a particular sport or sporting activity.
-
E.
typicallyPlays
Indicates that an entity is most commonly or habitually associated with playing a particular role, instrument, position, or type of game.
- F. None of above. chosen
Provenance (4 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: April 28, 2026, 6:22 p.m.