Triple
T18318532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Cry |
E438808
|
entity |
| Predicate | notableProgeny |
P50188
|
FINISHED |
| Object |
Tomcito
Tomcito is a Thoroughbred racehorse best known as a stakes-winning son of leading sire Street Cry.
|
E1317696
|
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: Tomcito | Statement: [Street Cry, notableProgeny, Tomcito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomcito Context triple: [Street Cry, notableProgeny, Tomcito]
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
Tomasino
Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
-
C.
Tomi
Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
-
D.
Tomas
Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
-
E.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
- 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: Tomcito Triple: [Street Cry, notableProgeny, Tomcito]
Generated description
Tomcito is a Thoroughbred racehorse best known as a stakes-winning son of leading sire Street Cry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomcito Target entity description: Tomcito is a Thoroughbred racehorse best known as a stakes-winning son of leading sire Street Cry.
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
Tomasino
Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
-
C.
Tomi
Tomi is a city in Nagano Prefecture, Japan, known for its scenic rural landscapes and proximity to the active volcano Mount Asama.
-
D.
Tomas
Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
-
E.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4c6094881909add4e2fe99a1bba |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c52d0ba48190845d461df02c3aa3 |
completed | May 13, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c5dd07488190ae04c6b406ab29c9 |
completed | May 13, 2026, 12:29 a.m. |
Created at: April 10, 2026, 10:36 a.m.