Triple
T3611555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Shalhoub |
E76498
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shalhoub |
E76498
|
NE FINISHED |
How this triple was built (2 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: Shalhoub | Statement: [Tony Shalhoub, familyName, Shalhoub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shalhoub Context triple: [Tony Shalhoub, familyName, Shalhoub]
-
A.
Nabil Elderkin
Nabil Elderkin is an acclaimed photographer and music video director known for his visually striking work with artists such as Kanye West, Frank Ocean, and John Legend.
-
B.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
-
C.
Tony Shalhoub
chosen
Tony Shalhoub is an American actor best known for his Emmy-winning portrayal of the obsessive-compulsive detective Adrian Monk in the television series "Monk."
-
D.
Yahya Merchant
Yahya Merchant was an Indian architect best known for designing the Mazar-e-Quaid, the mausoleum of Pakistan’s founder Muhammad Ali Jinnah in Karachi.
-
E.
George Nader
George Nader was an American film and television actor best known for his roles in 1950s Hollywood productions and later European genre films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22cac3c8190bc5f7c45d31668c1 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433136c94819099bc1d3846e54b07 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.