Triple
T11899718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sick Boy |
E283117
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Tony Ann
Tony Ann is a contemporary pianist and composer known for his emotive, cinematic piano pieces and strong online following.
|
E953606
|
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: Tony Ann | Statement: [Sick Boy, writer, Tony Ann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Ann Context triple: [Sick Boy, writer, Tony Ann]
-
A.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
B.
Annie Montrose
Annie Montrose is the sharp-tongued, media-savvy NASA Director of Media Relations in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
C.
Sheri Annis
Sheri Annis is a Republican political consultant and media strategist known for her work on ballot initiatives and as a conservative commentator.
-
D.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
E.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
- 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: Tony Ann Triple: [Sick Boy, writer, Tony Ann]
Generated description
Tony Ann is a contemporary pianist and composer known for his emotive, cinematic piano pieces and strong online following.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Ann Target entity description: Tony Ann is a contemporary pianist and composer known for his emotive, cinematic piano pieces and strong online following.
-
A.
Toni May
Toni May is a personal name, most likely referring to an individual whose specific public identity or achievements are not widely documented.
-
B.
Annie Montrose
Annie Montrose is the sharp-tongued, media-savvy NASA Director of Media Relations in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
-
C.
Sheri Annis
Sheri Annis is a Republican political consultant and media strategist known for her work on ballot initiatives and as a conservative commentator.
-
D.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
E.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd16433881909befca9774bdaab4 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
| NEDg | Description generation | batch_69f41f1c21388190b6ecb0fd602abb7d |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4228a73708190a6d2db321e175921 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.