Triple
T20157631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonraker |
E491614
|
entity |
| Predicate | hasFemaleLead |
P6108
|
FINISHED |
| Object | Gala Brand |
—
|
NE NERFINISHED |
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: Gala Brand | Statement: [Moonraker, hasFemaleLead, Gala Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gala Brand Context triple: [Moonraker, hasFemaleLead, Gala Brand]
-
A.
Gala Brand
chosen
Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
-
B.
Gallaher
Gallaher is a surname of Irish origin borne by various notable individuals, including figures in sports, politics, and the arts.
-
C.
Lovefeast
Lovefeast is a Christian communal meal and worship service, especially associated with Moravian and some Methodist traditions, that emphasizes fellowship, shared food, and spiritual unity rather than the sacramental elements of Holy Communion.
-
D.
Gala Water
Gala Water is a river in the Scottish Borders that flows through the town of Galashiels before joining the River Tweed.
-
E.
Honey Maid
Honey Maid is a popular brand of graham crackers known for their use in snacks and desserts like s'mores.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e18a0c8190a2cc2b305da28047 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.