Triple
T10719988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Piletti |
E252791
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Angie |
unclear NED1
|
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: [Marty Piletti, hasFriend, Angie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Context triple: [Marty Piletti, hasFriend, Angie]
-
A.
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.
-
B.
Angie
"Angie" is an American sitcom from the late 1970s that follows the romantic and family life of a working-class woman who marries into a wealthy family.
-
C.
Angie
Angie is a fictional private investigator featured in Dennis Lehane’s crime novel series alongside her partner Patrick Kenzie.
-
D.
Angie
Angie is the girlfriend of Sonny Wortzik, the bank robber portrayed by Al Pacino in the film "Dog Day Afternoon."
-
E.
Angela
Angela is a character in the British stage play and film "Abigail's Party," known for her polite, somewhat naive demeanor amid the story's tense social dynamics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d42033c81908cafe500213a9da1 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb72b9ce08190a9134f3365d3f8cb |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.