Triple
T12499670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angelica Garnett |
E298786
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Angelica |
E752522
|
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: Angelica | Statement: [Angelica Garnett, givenName, Angelica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angelica Context triple: [Angelica Garnett, givenName, Angelica]
-
A.
Angelica
chosen
Angelica is a feminine given name of Latin origin, commonly associated with the meaning "angelic" or "messenger of God."
-
B.
Angelica
Angelica is a cunning and resourceful pirate and former love interest of Jack Sparrow who plays a central role in Pirates of the Caribbean: On Stranger Tides.
-
C.
Angelica
Angelica is a central, witty, and independent heroine in William Congreve’s Restoration comedy "Love for Love."
-
D.
Angelica archangelica
Angelica archangelica is a tall aromatic herb native to northern Europe and Asia, traditionally used in herbal medicine and as a flavoring in foods and liqueurs.
-
E.
Angelica Rush
Angelica Rush is the daughter of Australian actress Jane Menelaus and actor Geoffrey Rush.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bb131608190b34a07a7026b160e |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.