Triple
T13304565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Mantell |
E316903
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Angie |
E880911
|
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: Angie | Statement: [Joe Mantell, portrayed, Angie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Context triple: [Joe Mantell, portrayed, Angie]
-
A.
Angie
Angie is a fictional private investigator featured in Dennis Lehane’s crime novel series alongside her partner Patrick Kenzie.
-
B.
Angie
Angie is a kind-hearted, intelligent angelfish who serves as Oscar’s close friend and love interest in the animated film "Shark Tale."
-
C.
Angie
Angie is a common diminutive given name, typically used as a familiar or affectionate form of names like Angelina or Angela.
-
D.
Angie
chosen
Angie is the girlfriend of Sonny Wortzik, the bank robber portrayed by Al Pacino in the film "Dog Day Afternoon."
-
E.
Angie
"Angie" is a 1973 ballad by The Rolling Stones, renowned for its melancholic melody and emotional lyrics, and considered one of the band's most iconic songs.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e161008190a48275ef54225d56 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.