Triple
T38112032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Corcoran |
E951682
|
entity |
| Predicate | hasLastAppearance |
P16814
|
FINISHED |
| Object | The Heartbreak Kid (1972 film) |
—
|
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: The Heartbreak Kid (1972 film) | Statement: [Mr. Corcoran, hasLastAppearance, The Heartbreak Kid (1972 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLastAppearance Context triple: [Mr. Corcoran, hasLastAppearance, The Heartbreak Kid (1972 film)]
-
A.
lastAppearance
chosen
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
B.
lastRegularAppearanceDate
Indicates the date on which an entity made its most recent standard or non-special appearance.
-
C.
estimatedLastAppearanceYearsAgo
Indicates the number of years that have passed since the entity is estimated to have last appeared or been observed.
-
D.
lastSeen
Indicates the most recent time or occasion on which one entity observed, encountered, or had contact with another entity.
-
E.
lastRegularAppearanceEpisode
Indicates the specific episode in which an entity makes its final appearance as a regular participant in a series.
- F. None of above.
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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a000be59ad88190a6aa3a42c097796d |
completed | May 10, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_6a000ab6e9bc81908300b81d004e5921 |
completed | May 10, 2026, 4:33 a.m. |
Created at: May 3, 2026, 4:21 p.m.