Triple
T14455781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mood Indigo |
E358455
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Tina Baz
Tina Baz is a film editor known for her work on acclaimed international films, including the French drama "Mood Indigo."
|
E1100719
|
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: Tina Baz | Statement: [Mood Indigo, editedBy, Tina Baz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Baz Context triple: [Mood Indigo, editedBy, Tina Baz]
-
A.
Tina Moss
Tina Moss is known as the wife of the late American record executive and A&M Records co-founder Jerry Moss.
-
B.
Tina Kunakey
Tina Kunakey is a French model known for her international fashion work and public profile, including her high-profile marriage to actor Vincent Cassel.
-
C.
Tania Nell
Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
-
D.
Tina Manning
Tina Manning was a Native American activist and the wife of poet and activist John Trudell, remembered for her involvement in Indigenous rights and her tragic death in a house fire.
-
E.
Tina Simpson
Tina Simpson is an American television personality and talent manager best known as the mother of singers Jessica and Ashlee Simpson.
- 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: Tina Baz Triple: [Mood Indigo, editedBy, Tina Baz]
Generated description
Tina Baz is a film editor known for her work on acclaimed international films, including the French drama "Mood Indigo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tina Baz Target entity description: Tina Baz is a film editor known for her work on acclaimed international films, including the French drama "Mood Indigo."
-
A.
Tina Moss
Tina Moss is known as the wife of the late American record executive and A&M Records co-founder Jerry Moss.
-
B.
Tina Kunakey
Tina Kunakey is a French model known for her international fashion work and public profile, including her high-profile marriage to actor Vincent Cassel.
-
C.
Tania Nell
Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
-
D.
Tina Manning
Tina Manning was a Native American activist and the wife of poet and activist John Trudell, remembered for her involvement in Indigenous rights and her tragic death in a house fire.
-
E.
Tina Simpson
Tina Simpson is an American television personality and talent manager best known as the mother of singers Jessica and Ashlee Simpson.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_69fd664347c48190a411141398794b88 |
completed | May 8, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd66e5d6b08190ad94a6a5f1809c2a |
completed | May 8, 2026, 4:30 a.m. |
Created at: April 10, 2026, 1:19 a.m.