Triple
T9039114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annie Leibovitz |
E216574
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anna-Lou
Anna-Lou is the birth name of renowned American portrait photographer Annie Leibovitz, famous for her iconic celebrity and editorial images.
|
E775274
|
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: Anna-Lou | Statement: [Annie Leibovitz, givenName, Anna-Lou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna-Lou Context triple: [Annie Leibovitz, givenName, Anna-Lou]
-
A.
Annis
Annis is a feminine given name of English origin, historically used in the Anglophone world.
-
B.
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.
-
C.
Anna
Anna is an actress known for portraying the ambitious and manipulative Lady Macbeth in a production of Shakespeare’s tragedy "Macbeth."
-
D.
Anna
Anna is the given first name of Pauli Murray, the pioneering American civil rights activist, lawyer, and Episcopal priest.
-
E.
Anna
Anna is a character from the video game "Surfacing," likely serving as a key figure in the game's narrative or player interactions.
- 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: Anna-Lou Triple: [Annie Leibovitz, givenName, Anna-Lou]
Generated description
Anna-Lou is the birth name of renowned American portrait photographer Annie Leibovitz, famous for her iconic celebrity and editorial images.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna-Lou Target entity description: Anna-Lou is the birth name of renowned American portrait photographer Annie Leibovitz, famous for her iconic celebrity and editorial images.
-
A.
Annis
Annis is a feminine given name of English origin, historically used in the Anglophone world.
-
B.
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.
-
C.
Anna
Anna is an actress known for portraying the ambitious and manipulative Lady Macbeth in a production of Shakespeare’s tragedy "Macbeth."
-
D.
Anna
Anna is the tragic, aristocratic heroine of Leo Tolstoy’s novel "Anna Karenina," whose passionate affair and struggle against societal norms lead to her downfall.
-
E.
Anna
Anna is the given first name of Pauli Murray, the pioneering American civil rights activist, lawyer, and Episcopal priest.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac46f4881909882403bb81db152 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb8ec0588190a24b4a2aa443399f |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfef5c5b708190b02d15626a88022b |
completed | April 3, 2026, 4:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfefbeb5cc81908f003b273876e83a |
completed | April 3, 2026, 4:50 p.m. |
Created at: March 30, 2026, 7:09 p.m.