Triple
T9002030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fate/Grand Order - Absolute Demonic Front: Babylonia |
E215058
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
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.
|
E772891
|
NE FINISHED |
How this triple was built (4 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: [Fate/Grand Order - Absolute Demonic Front: Babylonia, featuresCharacter, Ana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ana Context triple: [Fate/Grand Order - Absolute Demonic Front: Babylonia, featuresCharacter, 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.
Anna
Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
-
D.
Anna
Anna is a central female character in the comedy Western film "A Million Ways to Die in the West," portrayed as a sharp-shooting, quick-witted woman who helps the protagonist toughen up in the dangerous frontier.
-
E.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ana Triple: [Fate/Grand Order - Absolute Demonic Front: Babylonia, featuresCharacter, Ana]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ana Target entity description: 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.
-
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.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Anna
Anna is the given name of Anna Murray Douglass, an African American abolitionist and the first wife of Frederick Douglass.
-
E.
Anna
Anna is an actress known for portraying the ambitious and manipulative Lady Macbeth in a production of Shakespeare’s tragedy "Macbeth."
- F. None of above. chosen
Provenance (5 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9741dc8190bec985da8913937c |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc6b047c8190a1add15d9b48321c |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcecebe48190a2ede4c8400b3b42 |
completed | April 3, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:05 p.m.