Triple
T3644604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Quentin |
E77267
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Quentin |
E138209
|
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: Quentin | Statement: [Miss Quentin, givenName, Quentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quentin Context triple: [Miss Quentin, givenName, Quentin]
-
A.
Quentin
chosen
Quentin is a fictional character appearing in the post-apocalyptic virtual reality shooter game "After the Fall."
-
B.
Quentin
Quentin is a character from the British comedy film "The Boat That Rocked," which follows the antics of a 1960s pirate radio station broadcasting rock music to the UK.
-
C.
Quintin
Quintin is a masculine given name of Latin origin, derived from "Quintinus" and traditionally associated with the meaning "fifth."
-
D.
Marlon
Marlon is a masculine given name most famously associated with legendary American actor Marlon Brando.
-
E.
Terrence
Terrence is a masculine given name, commonly used in English-speaking countries and often shortened to "Terry."
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3207688190b8d93e2e833b15a0 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.