Triple
T17158414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Matlock |
E416412
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Glen |
E482555
|
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: Glen | Statement: [Glen Matlock, givenName, Glen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Context triple: [Glen Matlock, givenName, Glen]
-
A.
Glen
Glen is the androgynous, conflicted child of killer dolls Chucky and Tiffany in the horror-comedy film "Seed of Chucky."
-
B.
Glen
chosen
Glen is a masculine given name of Scottish origin meaning "valley," commonly used in English-speaking countries.
-
C.
Glen
Glen is a fictional character from Jake Arnott’s crime novel "The Long Firm," which explores the London underworld of the 1960s.
-
D.
Glenaan
Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
-
E.
Glen Shira
Glen Shira is a scenic glen in Argyll, Scotland, known for its rugged Highland landscape and historical associations with Clan MacNaughton and nearby Inveraray.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40d7ef08190a587c7c56f5c8569 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148356a8081909d0c82db32b3a744 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.