Triple
T14414191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammonite |
E357405
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gemma Jones |
E142957
|
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: Gemma Jones | Statement: [Ammonite, starring, Gemma Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Jones Context triple: [Ammonite, starring, Gemma Jones]
-
A.
Gemma Jones
chosen
Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
-
B.
Gemma Hayes
Gemma Hayes is an Irish singer-songwriter and musician known for her atmospheric indie folk and alternative rock music.
-
C.
Gemma Flynn
Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
-
D.
Gemma
Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
-
E.
Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648784048190a9c7e95bfeec8b23 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.