Triple
T13797461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ana Carbonell |
E331552
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ana |
E918628
|
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: Ana | Statement: [Ana Carbonell, givenName, Ana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ana Context triple: [Ana Carbonell, givenName, Ana]
-
A.
Ana
Ana is a constituent part of the larger municipality of Santa Ana.
-
B.
Ana
Ana is the given name of Ana Ivanovic, a retired Serbian professional tennis player and former world No. 1.
-
C.
Ana
Ana is a mysterious, hooded Lancer-class Servant in Fate/Grand Order - Absolute Demonic Front: Babylonia who serves as a younger incarnation of the goddess Medusa.
-
D.
Ana
Ana is the informal nickname of Anastasia Steele, the main female protagonist in the "Fifty Shades of Grey" series.
-
E.
Ana
chosen
Ana is a feminine given name used in many languages, often as a variant of Anna or Anne.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.