Triple
T10996726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Zebo |
E259890
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object |
Fritz Zebo
Fritz Zebo is a relative of Irish rugby union international Simon Zebo, known primarily through this family connection.
|
E898774
|
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: Fritz Zebo | Statement: [Simon Zebo, hasRelative, Fritz Zebo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fritz Zebo Context triple: [Simon Zebo, hasRelative, Fritz Zebo]
-
A.
Jonathan Togo
Jonathan Togo is an American actor best known for his role as Ryan Wolfe on the television series CSI: Miami.
-
B.
Léon Mba
Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
-
C.
Marcel Guillemaud
Marcel Guillemaud was a writer whose work served as the basis for the film "Le Million."
-
D.
André Malan
André Malan is a South African-born cricketer known for playing as a top-order batsman in domestic competitions.
-
E.
Joseph M'Benga
Joseph M'Benga is a Starfleet medical officer and skilled physician in the Star Trek universe, prominently depicted as the USS Enterprise’s chief medical officer in Star Trek: Strange New Worlds.
- 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: Fritz Zebo Triple: [Simon Zebo, hasRelative, Fritz Zebo]
Generated description
Fritz Zebo is a relative of Irish rugby union international Simon Zebo, known primarily through this family connection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fritz Zebo Target entity description: Fritz Zebo is a relative of Irish rugby union international Simon Zebo, known primarily through this family connection.
-
A.
Jonathan Togo
Jonathan Togo is an American actor best known for his role as Ryan Wolfe on the television series CSI: Miami.
-
B.
Léon Mba
Léon Mba was a Gabonese politician who became the country’s first president after leading it to independence from France.
-
C.
Marcel Guillemaud
Marcel Guillemaud was a writer whose work served as the basis for the film "Le Million."
-
D.
André Malan
André Malan is a South African-born cricketer known for playing as a top-order batsman in domestic competitions.
-
E.
Joseph M'Benga
Joseph M'Benga is a Starfleet medical officer and skilled physician in the Star Trek universe, prominently depicted as the USS Enterprise’s chief medical officer in Star Trek: Strange New Worlds.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d6572c8190a47d68483863ad7a |
completed | April 9, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3452420c08190b9c91a9c8a807670 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e3556fd3548190a33f04604be947cf |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.