Triple
T11212951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petty-Fitzmaurice family |
E265352
|
entity |
| Predicate | familyNameDerivedFrom |
P54694
|
FINISHED |
| Object | Petty |
E109028
|
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: Petty | Statement: [Petty-Fitzmaurice family, familyNameDerivedFrom, Petty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petty Context triple: [Petty-Fitzmaurice family, familyNameDerivedFrom, Petty]
-
A.
Petty
chosen
Petty is the surname of Tom Petty, the influential American rock musician and frontman of Tom Petty and the Heartbreakers.
-
B.
The Petty Girl
The Petty Girl is a 1950 Technicolor musical romantic comedy film in which Joan Caulfield stars as a prim college professor who becomes the model for a famous pin-up artist.
-
C.
Meek
Meek is a surname of Scottish origin borne by various notable individuals across fields such as acting, music, and politics.
-
D.
Tinny
Tinny is the wind-up toy protagonist of Pixar’s 1988 short film "Tin Toy," often recognized as an early precursor to the characters and style of "Toy Story."
-
E.
Petit
Petit is the surname of Sir Dinshaw Maneckji Petit, 1st Baronet, a prominent 19th-century Parsi industrialist and philanthropist from Bombay.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e497569efc8190b8e9cb6b1db3f94d |
completed | April 19, 2026, 8:50 a.m. |
Created at: April 8, 2026, 9:30 p.m.