Triple
T6045244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Tigerman |
E134650
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Tigerman
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
|
E564338
|
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: Tigerman | Statement: [Stanley Tigerman, familyName, Tigerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigerman Context triple: [Stanley Tigerman, familyName, Tigerman]
-
A.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
B.
Leopard-man
Leopard-man is a human-animal hybrid creature in H. G. Wells's novel "The Island of Doctor Moreau," embodying the horror and ethical questions surrounding the scientist's grotesque experiments in vivisection.
-
C.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
D.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
E.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
- 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: Tigerman Triple: [Stanley Tigerman, familyName, Tigerman]
Generated description
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigerman Target entity description: Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
-
A.
Tigery
Tigery is a small commune in the Essonne department of the Île-de-France region in northern France.
-
B.
Leopard-man
Leopard-man is a human-animal hybrid creature in H. G. Wells's novel "The Island of Doctor Moreau," embodying the horror and ethical questions surrounding the scientist's grotesque experiments in vivisection.
-
C.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
D.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
E.
Tigar
Tigar is a Serbian tire manufacturer known for producing budget-friendly tires and rubber products, operating as a subsidiary of the Michelin Group.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1139f53d881908f2aa8211fc7539f |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c1153b6ce8819090a13d349ccd2d6c |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115acfe748190b91c88df81c2e1c2 |
completed | March 23, 2026, 10:27 a.m. |
Created at: March 22, 2026, 4:09 p.m.