Triple
T20219291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Stewart |
E495207
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Eye Guess
Eye Guess is an American television game show created by producer Bob Stewart, known for its memory-based gameplay involving concealed answers on a game board.
|
E1417704
|
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: Eye Guess | Statement: [Bob Stewart, notableWork, Eye Guess]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eye Guess Context triple: [Bob Stewart, notableWork, Eye Guess]
-
A.
Tenebak
Tenebak is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Guess
Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
-
C.
Guess Who
Guess Who is a song by the American rock band Alabama Shakes from their critically acclaimed album "Sound & Color."
-
D.
Guess Who
Guess Who is a 2005 comedy film loosely inspired by "Guess Who's Coming to Dinner," featuring Bernie Mac as an overprotective father meeting his daughter's white fiancé.
-
E.
Guess What
"Guess What" is a song from Bruce Hornsby and the Range’s 1986 debut album *The Way It Is*, known for its blend of pop-rock and jazz-influenced piano.
- 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: Eye Guess Triple: [Bob Stewart, notableWork, Eye Guess]
Generated description
Eye Guess is an American television game show created by producer Bob Stewart, known for its memory-based gameplay involving concealed answers on a game board.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eye Guess Target entity description: Eye Guess is an American television game show created by producer Bob Stewart, known for its memory-based gameplay involving concealed answers on a game board.
-
A.
Tenebak
Tenebak is a barangay (village-level administrative division) within the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Guess
Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
-
C.
Guess Who
Guess Who is a song by the American rock band Alabama Shakes from their critically acclaimed album "Sound & Color."
-
D.
Guess Who
Guess Who is a 2005 comedy film loosely inspired by "Guess Who's Coming to Dinner," featuring Bernie Mac as an overprotective father meeting his daughter's white fiancé.
-
E.
Guess What
"Guess What" is a song from Bruce Hornsby and the Range’s 1986 debut album *The Way It Is*, known for its blend of pop-rock and jazz-influenced piano.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edbb67081909c7359ff27205b5f |
completed | April 20, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843f85fa08190b1191fe98d72de28 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0844d37fc48190a73ab9d45227e7eb |
completed | May 16, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084554462081908a1b801fe1528fa0 |
completed | May 16, 2026, 10:22 a.m. |
Created at: April 11, 2026, 11:39 p.m.