Triple
T17166923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biohazard |
E416631
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Anthony Meo
Anthony Meo is a musician best known as a former member of the New York hardcore/metal band Biohazard.
|
E1253835
|
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: Anthony Meo | Statement: [Biohazard, formerMember, Anthony Meo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Meo Context triple: [Biohazard, formerMember, Anthony Meo]
-
A.
Josh Tuaniga
Josh Tuaniga is an American volleyball setter known for starring at Long Beach State and representing the United States in international competition.
-
B.
Mark Tahbo
Mark Tahbo was a renowned Hopi potter celebrated for his revival of traditional techniques and innovative, finely painted pottery designs.
-
C.
Julian Savea
Julian Savea is a powerful New Zealand rugby union wing renowned for his prolific try-scoring for the All Blacks and his dominant performances on the international stage.
-
D.
Corey Moosa
Corey Moosa is an American film producer best known for his work on independent features such as the financial thriller "Margin Call."
-
E.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
- 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: Anthony Meo Triple: [Biohazard, formerMember, Anthony Meo]
Generated description
Anthony Meo is a musician best known as a former member of the New York hardcore/metal band Biohazard.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anthony Meo Target entity description: Anthony Meo is a musician best known as a former member of the New York hardcore/metal band Biohazard.
-
A.
Josh Tuaniga
Josh Tuaniga is an American volleyball setter known for starring at Long Beach State and representing the United States in international competition.
-
B.
Mark Tahbo
Mark Tahbo was a renowned Hopi potter celebrated for his revival of traditional techniques and innovative, finely painted pottery designs.
-
C.
Julian Savea
Julian Savea is a powerful New Zealand rugby union wing renowned for his prolific try-scoring for the All Blacks and his dominant performances on the international stage.
-
D.
Corey Moosa
Corey Moosa is an American film producer best known for his work on independent features such as the financial thriller "Margin Call."
-
E.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a014964b0d88190a37fa6be0c837630 |
completed | May 11, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a20bb2c8190bbae3009783efc00 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:37 a.m.