Triple
T5858041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iris Chase |
E130203
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chase |
E396941
|
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: Chase | Statement: [Iris Chase, familyName, Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chase Context triple: [Iris Chase, familyName, Chase]
-
A.
Chase
Chase is a brave German Shepherd police pup and one of the central heroes of the PAW Patrol franchise.
-
B.
Chase
Chase is a major U.S. consumer and commercial banking brand of JPMorgan Chase, offering a wide range of financial services including checking, savings, credit cards, and loans.
-
C.
Chase
chosen
Chase is a masculine given name commonly used in English-speaking countries, often associated with athleticism and modern American culture.
-
D.
The Chase
The Chase is a 1966 American drama-thriller film directed by Arthur Penn, known for its intense portrayal of small-town corruption and social tension, and produced by the Zanuck/Brown Company.
-
E.
Hunt
Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358654e48190908e7390a0164726 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c3a69881908ffeee1ddbeb8618 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.